Summary
Lance Chong-Kit is a Lead Software QA Engineer with eight years of hands-on experience building and validating AI-driven audio systems, embedded firmware, and full-stack demos in fast-moving startups. He blends test engineering and hardware bring-up—designing regression suites, acoustic test rooms, and embedded firmware for FPGA/AI silicon—to ensure models meet real-world benchmarks and customer needs. Lance regularly translates large-model inference code to fit target hardware, collaborates with IP vendors, and supports field deployments and demos showcased at TSMC and CES. Comfortable mentoring interns and interfacing with B2B partners, he pairs practical skills in Python, C/C++, Bash and Linux with circuit-level debugging and oscilloscope analysis. Notably, he augments ML pipelines with room impulse responses and automated model comparisons, turning messy acoustic data into reproducible validation workflows.
8 years of coding experience
1 year of employment as a software developer
University of California Santa Cruz